Development of a Multicompartment Permeability-Limited Lung PBPK Model and Its Application in Predicting Pulmonary Pharmacokinetics of Antituberculosis Drugs.

Achieving sufficient concentrations of antituberculosis (TB) drugs in pulmonary tissue at the optimum time is still a challenge in developing therapeutic regimens for TB. A physiologically based pharmacokinetic model incorporating a multicompartment permeability-limited lung model was developed and used to simulate plasma and pulmonary concentrations of seven drugs. Passive permeability of drugs within the lung was predicted using an in vitro-in vivo extrapolation approach. Simulated epithelial lining fluid (ELF):plasma concentration ratios showed reasonable agreement with observed clinical data for rifampicin, isoniazid, ethambutol, and erythromycin. For clarithromycin, itraconazole and pyrazinamide the observed ELF:plasma ratios were significantly underpredicted. Sensitivity analyses showed that changing ELF pH or introducing efflux transporter activity between lung tissue and ELF can alter the ELF:plasma concentration ratios. The described model has shown utility in predicting the lung pharmacokinetics of anti-TB drugs and provides a framework for predicting pulmonary concentrations of novel anti-TB drugs.

Optimisation and validation of a medium-throughput electrophysiology-based hNav1.5 assay using IonWorks.

INTRODUCTION: The safety implications of blocking the human cardiac Na(+) channel (hNav1.5) make it prudent to test for this activity early in the drug discovery process and design-out any potential liability. This needs a method with adequate throughput and a demonstrable predictive value to effects in native cardiac tissues. Here we describe the validation of a method that combines the ability to screen tens of compounds a day, with direct assessment of channel function. METHODS: The electrophysiological and pharmacological properties of hNav1.5 were compared using two methods: conventional, low-throughput electrophysiology and planar-array-based, medium-throughput electrophysiology (IonWorks HT). A pharmacological comparison was also made between IonWorks HT and canine cardiac Purkinje Fibre action potential upstroke data. RESULTS: Activation curve parameters for hNav1.5 in IonWorks HT were not statistically different (p>0.05) from those generated using conventional electrophysiology. IonWorks HT V(1/2)=-22+/-0.8 mV, slope=6.9+/-0.2 (n=11); conventional electrophysiology V(1/2)=-20+/-1.6 mV, slope=6.4+/-0.3 (n=11). Potency values for a range of hNav1.5 blockers determined using IonWorks HT correlated closely with those obtained using conventional electrophysiology (R=0.967, p<0.001). The assay was able to distinguish between highly use-dependent blockers (e.g. tetracaine) and blockers that do not display strong use-dependence (e.g. quinidine). Comparison of the degree of hNav1.5 inhibition and decrease in canine Purkinje fibre action potential upstroke velocity (V(max)) showed that the IonWorks HT assay would have predicted the outcome in Purkinje fibres in the majority of cases, with false negative and positive rates estimated at 8 and 7%, respectively. Finally, hNav1.5 pharmacology was similar when determined using either IonWorks HT or IonWorks Quattro, although the latter yielded more consistent data. DISCUSSION: The assay described combines a functional assessment of hNav1.5 with medium-throughput. Furthermore the assay was able to reveal information on the use-dependency of compound block, as well as predicting Na(+) channel effects in more integrated systems such as the cardiac Purkinje fibre action potential. This makes it possible to determine quantitative potency data, and mechanistic information about use-dependence, in a timeframe short enough to influence medicinal chemistry.

Optimisation and validation of a medium-throughput electrophysiology-based hERG assay using IonWorks HT.

INTRODUCTION: Regulatory and competitive pressure to reduce the QT interval prolongation risk of potential new drugs has led to focus on methods to test for inhibition of the human ether-a-go-go-related gene (hERG)-encoded K+ channel, the primary molecular target underlying this safety issue. Here we describe the validation of a method that combines medium-throughput with direct assessment of channel function. METHODS: The electrophysiological and pharmacological properties of hERG were compared using two methods: conventional, low-throughput electrophysiology and planar-array-based, medium-throughput electrophysiology (IonWorks HT). A pharmacological comparison was also made between IonWorks HT and an indirect assay (Rb+ efflux). RESULTS: Basic electrophysiological properties of hERG were similar whether recorded conventionally (HEK cells) or using IonWorks HT (CHO cells): for example, tail current V1/2 -12.1+/-5.0 mV (32) for conventional and -9.5+/-6.0 mV (46) for IonWorks HT (mean+/-S.D. (n)). A key finding was that as the number of cells per well was increased in IonWorks HT, the potency reported for a given compound decreased. Using the lowest possible cell concentration (250,000 cells/ml) and 89 compounds spanning a broad potency range, the pIC50 values from IonWorks HT (CHO-hERG) were found to correlate well with those obtained using conventional methodology (HEK-hERG)(r=0.90; p<0.001). Further validation using CHO-hERG cells with both methods confirmed the correlation (r=0.94; p<0.001). In contrast, a comparison of IonWorks HT and Rb+ efflux data with 649 compounds using CHO-hERG cells showed that the indirect assay consistently reported compounds as being, on average, 6-fold less potent, though the differences varied depending on chemical series. DISCUSSION: The main finding of this work is that providing a relatively low cell concentration is used in IonWorks HT, the potency information generated correlates well with that determined using conventional electrophysiology. The effect on potency of increasing cell concentration may relate to a reduced free concentration of test compound owing to partitioning into cell membranes. In summary, the IonWorks HT hERG assay can generate pIC50 values based on a direct assessment of channel function in a timeframe short enough to influence chemical design.